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README.md

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| [Topic Analysis](https://x-tabdeveloping.github.io/turftopic/analyzers/) | :robot: LLM-generated names and descriptions, :wave: Manual Topic Naming |
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| [Informative Topic Descriptions](https://x-tabdeveloping.github.io/turftopic/vectorizers/) | :key: Keyphrases, Noun-phrases, Lemmatization, Stemming |
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## Citation
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Please cite us when using Turftopic:
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```bibtex
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@article{
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Kardos2025,
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title = {Turftopic: Topic Modelling with Contextual Representations from Sentence Transformers},
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doi = {10.21105/joss.08183},
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url = {https://doi.org/10.21105/joss.08183},
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year = {2025},
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publisher = {The Open Journal},
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volume = {10},
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number = {111},
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pages = {8183},
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author = {Kardos, Márton and Enevoldsen, Kenneth C. and Kostkan, Jan and Kristensen-McLachlan, Ross Deans and Rocca, Roberta},
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journal = {Journal of Open Source Software}
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}
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```
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## Basics
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[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/x-tabdeveloping/turftopic/blob/main/examples/basic_example_20newsgroups.ipynb)
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Alternatively you can use the [Figures API](https://x-tabdeveloping.github.io/topicwizard/figures.html) in topicwizard for individual HTML figures.
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## Citation
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Please cite us when using Turftopic:
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```bibtex
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@article{
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Kardos2025,
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title = {Turftopic: Topic Modelling with Contextual Representations from Sentence Transformers},
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doi = {10.21105/joss.08183},
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url = {https://doi.org/10.21105/joss.08183},
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year = {2025},
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publisher = {The Open Journal},
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volume = {10},
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number = {111},
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pages = {8183},
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author = {Kardos, Márton and Enevoldsen, Kenneth C. and Kostkan, Jan and Kristensen-McLachlan, Ross Deans and Rocca, Roberta},
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journal = {Journal of Open Source Software}
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}
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```
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## References
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- Kardos, M., Kostkan, J., Vermillet, A., Nielbo, K., Enevoldsen, K., & Rocca, R. (2024, June 13). $S^3$ - Semantic Signal separation. arXiv.org. https://arxiv.org/abs/2406.09556
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- Wu, X., Nguyen, T., Zhang, D. C., Wang, W. Y., & Luu, A. T. (2024). FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm. ArXiv Preprint ArXiv:2405.17978.

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